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Spatially-Adaptive Encoding for MLPs by Vanji Nathan is a document available to read on EtoBox.
What is Spatially-Adaptive Encoding for MLPs about?
The document presents Spatially-Adaptive Progressive Encoding (SAPE), a method designed to enhance the performance of multilayer perceptrons (MLPs) in learning high-frequency functions without requiring extensive tuning or preprocessing. SAPE progressively reveals signal components based on frequency and spatial characteristics, allowing MLPs to adaptively fit complex signals across various domains, such as images and 3D shapes. The method addresses limitations of traditional positional encodings by incorpo
- Author
- Vanji Nathan
- Language
- EN